TheMTank / RL-code-resourcesLinks
A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments
☆66Updated 3 years ago
Alternatives and similar repositories for RL-code-resources
Users that are interested in RL-code-resources are comparing it to the libraries listed below
Sorting:
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox☆163Updated 6 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆215Updated 2 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆150Updated 4 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆87Updated 5 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆98Updated 4 years ago
- Multitask Environments for RL☆278Updated 3 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆151Updated 4 years ago
- Explore and find reinforcement learning environments in a list of 150+ open source environments.☆90Updated 2 years ago
- A standalone library to randomize various OpenAI Gym Environments☆63Updated 5 years ago
- Clone of OpenAI's Spinning Up in PyTorch☆151Updated 3 years ago
- A curated list of reinforcement learning environments and frameworks.☆51Updated 6 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆72Updated 3 years ago
- ☆99Updated 2 years ago
- ☆84Updated 4 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined wit…☆192Updated 3 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆190Updated 2 years ago
- Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines fro…☆154Updated 3 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- Soft Actor-Critic☆151Updated 7 years ago
- The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …☆165Updated 2 years ago
- Shared autonomy via deep reinforcement learning☆78Updated 2 years ago
- rllab's viskit with some added features☆73Updated 2 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- Performances of Reinforcement Learning Agents☆53Updated 5 years ago
- ☆29Updated 5 years ago
- The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)☆77Updated last year